Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
19 measurements spanning 79 days, net -23. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,232–2,261 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Oct 2026, 23:01
2,235
-1
15 Oct 2026, 00:45
2,236
-2
5 Oct 2026, 02:19
2,238
-5
26 Sept 2026, 13:22
2,243
-1
17 Sept 2026, 11:40
2,244
+2
13 Sept 2026, 14:00
2,242
-1
10 Sept 2026, 04:57
2,243
-1
4 Sept 2026, 20:40
2,244
+2
1 Sept 2026, 09:35
2,242
-1
29 Aug 2026, 06:26
2,243
-1
25 Aug 2026, 22:25
2,244
-2
22 Aug 2026, 22:48
2,246
-1
19 Aug 2026, 11:44
2,247
-4
16 Aug 2026, 22:18
2,251
+2
13 Aug 2026, 16:17
2,249
-6
10 Aug 2026, 09:14
2,255
-2
7 Aug 2026, 06:44
2,257
-1
7 Aug 2026, 00:46
2,258
no change
7 Aug 2026, 00:38
2,258
first reading
Engagement
20 posts held, back to 10 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 12 April 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
15 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 53.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8
53.3%
👍
7
46.7%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 10 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 March 2025 to 12 April 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
7 основных инструментов Python для разработки признаков
Из этой статьи вы узнаете, как использовать модуль itertools в Python для упрощения распространенных задач по разработке признаков с помощью простых и эффективных шаблонов.
https://machinelearningmastery.com/7-essential-python-itertools-for-feature-engineering
За полчаса установил DeepSeek 1.5B, пока вы искали GPT подешевле
DeepSeek 1.5B — маленький, но шустрый собрат больших языковых моделей. Работает локально, не требует железа на киловатт.
Внутри — инструкция по установке, настройке и запуску DeepSeek 1.5B на Ubuntu 24.04 с Ollama и Open WebUI.
https://habr.com/ru/companies/minerva_media/articles/909130/
От MCP до мультиагентов: 10 лучших новых проектов ИИ с открытым исходным кодом на GitHub прямо сейчас и почему они важны
https://github.blog/open-source/maintainers/from-mcp-to-multi-agents-the-top-10-open-source-ai-projects-on-github-right-now-and-why-they-matter/
Как бы я быстро освоил машинное обучение и искусственный интеллект, если бы мне пришлось начинать все сначала
https://www.youtube.com/watch?v=8xUher8-5_Q
Достижение гибкой и высокоточной генерации изображений с сохранением идентичности остается сложной задачей, особенно с помощью усовершенствованных диффузионных преобразователей (DiT), таких как FLUX. Мы представляем InfiniteYou (InfU), одну из самых ранних надежных фреймворков, использующих DiT для этой задачи.
https://github.com/bytedance/infiniteyou
Сообщество аналитиков и инженеров данных, где ты найдёшь множество интересных трюков, лайфхаков и глубоких инсайтов по работе с Pandas в Python. Всё, что нужно, чтобы усвоить мощь библиотек для анализа данных и автоматизировать рутинные задачи.
Подписаться ✔️
Dolphin — это многоязычная, многозадачная модель ASR, разработанная в рамках сотрудничества Dataocean AI и Университета Цинхуа. Она поддерживает 40 восточных языков Восточной Азии, Южной Азии, Юго-Восточной Азии и Ближнего Востока, а также 22 китайских диалекта. Она обучена на более чем 210 000 часах данных, включая как собственные наборы данных DataoceanAI, так и наборы данных с открытым исходным кодом. Модель может…
Карта разума панд
Лучшая интеллект-карта для освоения панд.
https://blog.dailydoseofds.com/p/pandas-mind-map
Showing the 12 most recent of 20 posts we hold for @bigdata_world. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@bigdata_world named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@factory_dataframes named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 16 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Data Science & Machine Learning Resources @datalemur · 20,740 Telegram ranks this channel #48 of 72 here — alongside 71 others — read 26 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Big data world” (@bigdata_world), 2,235 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/bigdata_world.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.